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SCBiclust
View on CRAN: Click
here
Download and install SCBiclust package within the R console
Install from CRAN:
install.packages("SCBiclust")
Install from Github:
library("remotes")
install_github("cran/SCBiclust") Install by package version:
library("remotes")
install_version("SCBiclust", "1.0.2") Attach the package and use:
library("SCBiclust")
Maintained by
Erika S. Helgeson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-02
Latest Update: 2025-09-01
Description:
Identifies a bicluster, a submatrix of the data such that the features and observations within the submatrix differ from those not contained in submatrix, using a two-step method. In the first step, observations in the bicluster are identified to maximize the sum of weighted between cluster feature differences. The method is described in Helgeson et al. (2020) . 'SCBiclust' can be used to identify biclusters which differ based on feature means, feature variances, or more general differences.
How to cite:
Erika S. Helgeson (2019). SCBiclust: Identifies Mean, Variance, and Hierarchically Clustered Biclusters. R package version 1.0.2, https://cran.r-project.org/web/packages/SCBiclust. Accessed 15 Jul. 2026.
Previous versions and publish date:
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Other R packages that SCBiclust depends,
imports, suggests or enhances
Complete documentation for SCBiclust
Functions, R codes and Examples using
the SCBiclust R package
Some associated functions: PermBiclust.beta.ks . PermBiclust.sigclust . PermBiclust.sigclust_stop . PermHclust.sigclust . VarPermBiclust.chisqdiff .
Some associated R codes: SC-Biclust-SigClust-stop.R . SC-Biclust-SigClust.R . SC-HBiclust-SigClust.R . SC-Var-Biclust.R . SCBiclust_beta_ks.R . Full SCBiclust package functions and examples
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